2.5D Inversion Algorithm of Frequency-Domain Airborne Electromagnetics with Topography

Joint Authors

Xi, Jianjun
Li, Wenben

Source

Mathematical Problems in Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-11-01

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Civil Engineering

Abstract EN

We presented a 2.5D inversion algorithm with topography for frequency-domain airborne electromagnetic data.

The forward modeling is based on edge finite element method and uses the irregular hexahedron to adapt the topography.

The electric and magnetic fields are split into primary (background) and secondary (scattered) field to eliminate the source singularity.

For the multisources of frequency-domain airborne electromagnetic method, we use the large-scale sparse matrix parallel shared memory direct solver PARDISO to solve the linear system of equations efficiently.

The inversion algorithm is based on Gauss-Newton method, which has the efficient convergence rate.

The Jacobian matrix is calculated by “adjoint forward modelling” efficiently.

The synthetic inversion examples indicated that our proposed method is correct and effective.

Furthermore, ignoring the topography effect can lead to incorrect results and interpretations.

American Psychological Association (APA)

Xi, Jianjun& Li, Wenben. 2016. 2.5D Inversion Algorithm of Frequency-Domain Airborne Electromagnetics with Topography. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111723

Modern Language Association (MLA)

Xi, Jianjun& Li, Wenben. 2.5D Inversion Algorithm of Frequency-Domain Airborne Electromagnetics with Topography. Mathematical Problems in Engineering No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1111723

American Medical Association (AMA)

Xi, Jianjun& Li, Wenben. 2.5D Inversion Algorithm of Frequency-Domain Airborne Electromagnetics with Topography. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111723

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1111723